Publications

Please refer to the Google Scholar for my full publication list.

Selected Conference Papers

• Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection
  Zihao Wang, Di Tang (corresponding author), XiaoFeng Wang, Wei He, Zhaoyang Geng, Wenhao Wang
  USENIX Security, 2024.

• Racing on the Negative Force: Efficient Vulnerability Root-Cause Analysis through Reinforcement Learning on Counterexamples
  Dandan Xu, Di Tang, Yi Chen, XiaoFeng Wang, Kai Chen, Haixu Tang and Longxing Li.
  USENIX Security, 2024.

• Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering
  Rui Zhu, Di Tang (corresponding author), Siyuan Tang, Zihao Wang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang.
  NDSS, 2024.

• Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models
  Rui Zhu, Di Tang (co-first author), Siyuan Tang, Xiaofeng Wang, Haixu Tang.
  IEEE S&P, 2023.

• Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning
  Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu.
  USENIX Security, 2023.

• HOMESPY: The Invisible Sniffer of Infrared Remote Control of Smart TVs
  Kong Huang, Yutong Zhou, Ke Zhang, Jiacen Xu, Jiongyi Chen, Di Tang, Kehuan Zhang.
  USENIX Security, 2023.

• Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
  Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, Xiaozhong Liu.
  ACM CCS, 2022.

• Seeing the Forest for the Trees: Understanding Security Hazards in the 3GPP Ecosystem through Intelligent Analysis on Change Requests
  Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Dongfang Zhao.
  USENIX Security, 2022.

• The Trojan Detection Challenge
  Mantas Mazeika, Dan Hendrycks, Huichen Li, Xiaojun Xu, Sidney Q. Hough, Andy Zou, Arezoo Rajabi, Qi Yao, Zihao Wang, Jian Tian, Yao Tang, Di Tang, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth
  NeurIPS (Competition and Demos), 2022.

• Understanding the Brains and Brawn of Illicit Streaming App
  Kong Huang, Ke Zhang, Jiongyi Chen, Menghan Sun, Wei Sun, Di Tang, Kehuan Zhang.
  ICDF2C, 2021.

• Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
  Di Tang, XiaoFeng Wang, Haixu Tang, Kehuan Zhang.
  USENIX Security, 2021.

• Your Smart Home Can’t Keep a Secret: Towards Automated Fingerprinting of IoT Traffic
  Shuaike Dong, Zhou Li, Di Tang, Jiongyi Chen, Menghan Sun, Kehuan Zhang.
  ACM Asia CCS, 2020

• Stealthy Porn: Understanding Real-World Adversarial Images for Illicit Online Promotion
  Kan Yuan, Di Tang, Xiaojing Liao, XiaoFeng Wang, Xuan Feng, Yi Chen, Menghan Sun, Haoran Lu, Kehuan Zhang.
  IEEE S&P, 2019.

• Beware of Your Screen: Anonymous Fingerprinting of Device Screens for Off-line Payment Protection
  Zhe Zhou, Di Tang, Wenhao Wang, Xiaofeng Wang, Zhou Li, Kehuan Zhang.
  ACSAC, 2018.

• Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections
  Di Tang, Zhe Zhou, Yinqian Zhang, Kehuan Zhang.
  NDSS, 2018.